Data Engineer

Inspire • Atlanta, GA

8d

About The Position

As a Data Engineer, you will support the Enterprise Data Organization in building and managing data pipelines for Azure cloud-based data platforms. The pipelines encompass data ingestion, transformation, distribution, quality rules, and storage. The role requires strong technical, analytical, programming, and critical-thinking skills.

You will design, develop, and maintain automated data solutions based on business requirements, develop and enhance data-processing components, and support and troubleshoot the data environment. You will document technical artifacts and work with multiple constituent groups to build sustainable relationships. The position also involves experience with Agile practices and methodologies.

Requirements

• Four-year degree in information systems, finance/mathematics, computer science, or a similar field.
• 2 to 3 years of experience in data engineering.
• Advanced SQL queries, scripts, stored procedures, and materialized views.
• Focus on ELT to load data into databases and perform transformations in the database.
• Ability to use analytical SQL functions.
• Experience with cloud data warehouse solutions such as Snowflake, Azure DW, or Redshift, including data modeling, analysis, and programming.
• Experience with DevOps models using a CI/CD tool.
• Hands-on experience in the Azure Cloud Platform, including ADLS and Blob.
• Good interpersonal skills and comfort and competence working with different teams within the organization.
• Versatile, creative approach; ability to think outside the box while defining sound and practical solutions, and to master new skills.
• Proactive problem-solving approach, effective influencing skills, and ability to work independently on complex projects.

Nice To Haves

• Experience with Talend, Apache Airflow, Azure Data Factory, and BI tools such as Tableau; ability to analyze data models.

Responsibilities

• Design, develop, and maintain reliable automated data solutions based on identified, collected, and evaluated business requirements, including data models, database objects, stored procedures, and views.
• Develop new and enhance existing data-processing components for data ingestion, transformation, storage, management, and quality.
• Support and troubleshoot the data environment, including periodically being on call.
• Document technical artifacts for developed solutions.
• Interface with multiple constituent groups and build sustainable relationships.
• Work with Agile practices and methodologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level